Spatial statistics for data science: theory and practice with R
Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2023
|
| Ausgabe: | First edition |
| Schriftenreihe: | Chapman and Hall/CRC Data Science Series
|
| Schlagworte: | |
| Online-Zugang: | DE-188 URL des Erstveröffentlichers |
| Zusammenfassung: | Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R. |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (xvii, 279 Seiten) Illustrationen, Diagramme, Karten |
| ISBN: | 9781032641522 9781003832331 |
| DOI: | 10.1201/9781032641522 |
Internformat
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Datensatz im Suchindex
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| dewey-full | 001.4/22 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 001 - Knowledge |
| dewey-raw | 001.4/22 |
| dewey-search | 001.4/22 |
| dewey-sort | 11.4 222 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines Geographie |
| doi_str_mv | 10.1201/9781032641522 |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV049677801 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T07:30:34Z |
| institution | BVB |
| isbn | 9781032641522 9781003832331 |
| language | English |
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| oclc_num | 1437842944 |
| open_access_boolean | |
| owner | DE-188 |
| owner_facet | DE-188 |
| physical | 1 Online-Ressource (xvii, 279 Seiten) Illustrationen, Diagramme, Karten |
| psigel | ZDB-30-PQE ZDB-7-TFC |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| series2 | Chapman and Hall/CRC Data Science Series |
| spelling | Moraga, Paula Verfasser (DE-588)131924484X aut Spatial statistics for data science theory and practice with R Paula Moraga First edition Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2023 © 2024 1 Online-Ressource (xvii, 279 Seiten) Illustrationen, Diagramme, Karten txt rdacontent c rdamedia cr rdacarrier Chapman and Hall/CRC Data Science Series Description based on publisher supplied metadata and other sources Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R. R Programm (DE-588)4705956-4 gnd rswk-swf Raumdaten (DE-588)4206012-6 gnd rswk-swf Raumbezogene Statistik Spatial analysis (Statistics) R (Computer program language) Raumdaten (DE-588)4206012-6 s R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-032-63351-0 (DE-604)BV049499689 Erscheint auch als Druck-Ausgabe, Paperback 978-1-032-64148-5 (DE-604)BV049499689 Erscheint auch als Online-Ausgabe 978-1-032-64152-2 https://doi.org/10.1201/9781032641522 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Moraga, Paula Spatial statistics for data science theory and practice with R R Programm (DE-588)4705956-4 gnd Raumdaten (DE-588)4206012-6 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4206012-6 |
| title | Spatial statistics for data science theory and practice with R |
| title_auth | Spatial statistics for data science theory and practice with R |
| title_exact_search | Spatial statistics for data science theory and practice with R |
| title_full | Spatial statistics for data science theory and practice with R Paula Moraga |
| title_fullStr | Spatial statistics for data science theory and practice with R Paula Moraga |
| title_full_unstemmed | Spatial statistics for data science theory and practice with R Paula Moraga |
| title_short | Spatial statistics for data science |
| title_sort | spatial statistics for data science theory and practice with r |
| title_sub | theory and practice with R |
| topic | R Programm (DE-588)4705956-4 gnd Raumdaten (DE-588)4206012-6 gnd |
| topic_facet | R Programm Raumdaten |
| url | https://doi.org/10.1201/9781032641522 |
| work_keys_str_mv | AT moragapaula spatialstatisticsfordatasciencetheoryandpracticewithr |